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Eight more months of agents
I wrote up my experiences programming with LLMs a bit over a year ago , and updated it for the world of agents eight months ago . A lot has changed since then, so here is an update.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,331 posts.
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Is the reversal curse in LLMs real?
A recent paper The Reversal Curse points out an apparent failure in large large language models like GPT-4. From the abstract: We expose a surprising failure of generalization in auto-regressive large language models (LLMs). If a model is
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Why GPT-3 Matters
The sheer scale of the new GPT-3 model is hard to overstate; it’s an entire order of magnitude larger than Microsoft’s already-massive 17B parameter Turing-NLG.[1] Loading the entire model’s weights
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Can LLMs accurately recall the Bible?
I've often found myself uneasy when LLMs (Large Language Models) are asked to quote the Bible. While they can provide insightful discussions about faith, their tendency to hallucinate responses raises concerns when dealing with scripture, which we regard as the inspired Word of God. To explore these concerns, I
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Vibe coding creates a bus factor of zero
"AI first" leaves humans nowhere. Learn about the Bus Factor and how the launch of ChatGPT has changed the landscape on knowledge sharing.
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Which GPU(s) to Get for Deep Learning
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
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Quantum supremacy, now with BosonSampling
Update (12/5): The Google team, along with Gil Kalai, have raised questions about whether the results of the new BosonSampling experiment might be easier to spoof classically than the USTC team tho…
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Finetuning Large Language Models
An introduction to the core ideas and approaches
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GigaGPT: GPT-3 sized models in 565 lines of code
GigaGPT is Cerebras’ implementation of Andrei Karpathy’s nanoGPT – the simplest and most compact code base to train and fine-tune GPT models.
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Diffusion Is Spectral Autoregression
A deep dive into spectral analysis of diffusion models of images, revealing how they implicitly perform a form of autoregression in the frequency domain.
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Qwen VLo: From “Understanding” the World to “Depicting” It
QWEN CHAT DISCORD Introduction The evolution of multimodal large models is continually pushing the boundaries of what we believe technology can achieve. From the initial QwenVL to the latest Qwen2.5 VL, we have made progress in enhancing the model’s ability to understand image content. Today, we are excited to…
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OpenAI Baselines
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Alexa+
Powered by generative AI, Alexa+ is your personal AI assistant that gets things done—she’s smarter, more conversational, more capable, and free with Prime.
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Evaluation of TikTok vs. Instagram Reels
Why can't Meta A/B test its way back to greatness? To move Instagram beyond short-term engagement metrics, we ran a personalized human evaluation asking 100 users to compare TikTok vs. Instagram Reels. Learn why Gen Z considers Reels the place where TikToks go to die, and what Instagram should do about it.
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The current state of LLM-driven development
I spent the past ~4 weeks trying out all the new and fancy AI tools for software development.
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Text Embedding Models Contain Bias
As Machine Learning practitioners, when faced with a task, we usually select or train a model primarily based on how well it performs on that task. For example, say we're building a system to classify whether a movie review is positive or negative. We take 5 different models and see how well each performs this task:
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AI Can Transform Anyone Into a Professional Dancer
Think of it as style transfer for dancing, a deep learning based algorithm that can convincingly show a real person mirroring the moves of their favorite dancers. The work, developed by a team of…
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How we used GPT-4o for image detection with 350 similar illustrations
The Attic is a running catalog of Olup's side projects, sketches, and weekend rabbit holes.
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Multi-modal prompt injection image attacks against GPT-4V
GPT4-V is the new mode of GPT-4 that allows you to upload images as part of your conversations. It’s absolutely brilliant. It also provides a whole new set of vectors …
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Stanford Alpaca, and the acceleration of on-device LLM development
On Saturday 11th March I wrote about how Large language models are having their Stable Diffusion moment. Today is Monday. Let’s look at what’s happened in the past three days. …
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Traffic Prediction with Advanced Graph Neural Networks
By partnering with Google, DeepMind is able to bring the benefits of AI to billions of people all over the world. From reuniting a speech-impaired user with his original voice, to helping users discover personalised apps, we can apply breakthrough research to immediate real-world problems at a Google scale. Today…
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The current state of the theory that GPL propagates to AI models
When GitHub Copilot was launched in 2021, the fact that its training data included a vast amount of Open Source code publicly available on GitHub attracted significant attention, sparking lively de…
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“Vibe Coding” vs. Reality
Reviewing the capabilities and limitations of LLM agents in software development and their impact on skilled and less skilled developers.
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Atlas robot does parkour
By training Atlas to maneuver its way through complex parkour courses, our engineers push the humanoid robot to its limits.
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First look at Microsoft 365 Copilot
Microsoft has made tons of noise about their Microsoft 365 Copilot toolset. They’ve made a lot of promises about its capabilities to enhance individual and team productivity, but access to it…
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OpenAI DayBreak – GPT-5.5-Cyber
OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.
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Concrete AI Safety Problems
We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.
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New coding models and integrations
GLM-4.6 and Qwen3-coder-480B are available on Ollama’s cloud service with easy integrations to the tools you are familiar with. Qwen3-Coder-30B has been updated for faster, more reliable tool calling in Ollama’s new engine.